A method to standardize quantification of left atrial scar from delayed-enhancement MR images

Rashed Karim; Aruna Arujuna; Richard James Housden; Jaspal Gill; Hannah Cliffe; Kavir Matharu; Jaswinder Gill; Christopher Aldo Rindaldi; Mark O'Neill; Daniel Rueckert; Reza Razavi; Tobias Schaeffter; Kawal Rhode

doi:10.1109/JTEHM.2014.2312191

A method to standardize quantification of left atrial scar from delayed-enhancement MR images

Rashed Karim, Aruna Arujuna, Richard James Housden, Jaspal Gill, Hannah Cliffe, Kavir Matharu, Jaswinder Gill, Christopher Aldo Rindaldi, Mark O'Neill, Daniel Rueckert, Reza Razavi, Tobias Schaeffter, Kawal Rhode

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for detecting left atrial (LA) fibrosis both pre and postradiofrequency ablation for the treatment of atrial fibrillation. Fixed thresholding models are frequently utilized clinically to segment and quantify scar in DE-MRI due to their simplicity. These methods fail to provide a standardized quantification due to interobserver variability. Quantification of scar can be used as an endpoint in clinical studies and therefore standardization is important. In this paper, we propose a segmentation algorithm for LA fibrosis quantification and investigate its performance. The algorithm was validated using numerical phantoms and 15 clinical data sets from patients undergoing LA ablation. We demonstrate that the approach produces good concordance with expert manual delineations. The method offers a standardized quantification technique for evaluation and interpretation of DE-MRI scans.

Original language	English
Article number	1800615
Journal	IEEE Journal of Translational Engineering in Health and Medicine
Volume	2
Issue number	1
DOIs	https://doi.org/10.1109/JTEHM.2014.2312191
State	Published - 2014
Externally published	Yes

Keywords

Adaptation models
Biomedical imaging
Blood
Image segmentation
Magnetic resonance imaging
Myocardium
Training

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10.1109/JTEHM.2014.2312191

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Karim, R., Arujuna, A., Housden, R. J., Gill, J., Cliffe, H., Matharu, K., Gill, J., Rindaldi, C. A., O'Neill, M., Rueckert, D., Razavi, R., Schaeffter, T., & Rhode, K. (2014). A method to standardize quantification of left atrial scar from delayed-enhancement MR images. IEEE Journal of Translational Engineering in Health and Medicine, 2(1), Article 1800615. https://doi.org/10.1109/JTEHM.2014.2312191

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title = "A method to standardize quantification of left atrial scar from delayed-enhancement MR images",

abstract = "Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for detecting left atrial (LA) fibrosis both pre and postradiofrequency ablation for the treatment of atrial fibrillation. Fixed thresholding models are frequently utilized clinically to segment and quantify scar in DE-MRI due to their simplicity. These methods fail to provide a standardized quantification due to interobserver variability. Quantification of scar can be used as an endpoint in clinical studies and therefore standardization is important. In this paper, we propose a segmentation algorithm for LA fibrosis quantification and investigate its performance. The algorithm was validated using numerical phantoms and 15 clinical data sets from patients undergoing LA ablation. We demonstrate that the approach produces good concordance with expert manual delineations. The method offers a standardized quantification technique for evaluation and interpretation of DE-MRI scans.",

keywords = "Adaptation models, Biomedical imaging, Blood, Image segmentation, Magnetic resonance imaging, Myocardium, Training",

author = "Rashed Karim and Aruna Arujuna and Housden, {Richard James} and Jaspal Gill and Hannah Cliffe and Kavir Matharu and Jaswinder Gill and Rindaldi, {Christopher Aldo} and Mark O'Neill and Daniel Rueckert and Reza Razavi and Tobias Schaeffter and Kawal Rhode",

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year = "2014",

doi = "10.1109/JTEHM.2014.2312191",

language = "English",

volume = "2",

journal = "IEEE Journal of Translational Engineering in Health and Medicine",

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Karim, R, Arujuna, A, Housden, RJ, Gill, J, Cliffe, H, Matharu, K, Gill, J, Rindaldi, CA, O'Neill, M, Rueckert, D, Razavi, R, Schaeffter, T & Rhode, K 2014, 'A method to standardize quantification of left atrial scar from delayed-enhancement MR images', IEEE Journal of Translational Engineering in Health and Medicine, vol. 2, no. 1, 1800615. https://doi.org/10.1109/JTEHM.2014.2312191

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AU - Karim, Rashed

AU - Arujuna, Aruna

AU - Housden, Richard James

AU - Gill, Jaspal

AU - Cliffe, Hannah

AU - Matharu, Kavir

AU - Gill, Jaswinder

AU - Rindaldi, Christopher Aldo

AU - O'Neill, Mark

AU - Rueckert, Daniel

AU - Razavi, Reza

AU - Schaeffter, Tobias

AU - Rhode, Kawal

PY - 2014

Y1 - 2014

N2 - Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for detecting left atrial (LA) fibrosis both pre and postradiofrequency ablation for the treatment of atrial fibrillation. Fixed thresholding models are frequently utilized clinically to segment and quantify scar in DE-MRI due to their simplicity. These methods fail to provide a standardized quantification due to interobserver variability. Quantification of scar can be used as an endpoint in clinical studies and therefore standardization is important. In this paper, we propose a segmentation algorithm for LA fibrosis quantification and investigate its performance. The algorithm was validated using numerical phantoms and 15 clinical data sets from patients undergoing LA ablation. We demonstrate that the approach produces good concordance with expert manual delineations. The method offers a standardized quantification technique for evaluation and interpretation of DE-MRI scans.

AB - Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for detecting left atrial (LA) fibrosis both pre and postradiofrequency ablation for the treatment of atrial fibrillation. Fixed thresholding models are frequently utilized clinically to segment and quantify scar in DE-MRI due to their simplicity. These methods fail to provide a standardized quantification due to interobserver variability. Quantification of scar can be used as an endpoint in clinical studies and therefore standardization is important. In this paper, we propose a segmentation algorithm for LA fibrosis quantification and investigate its performance. The algorithm was validated using numerical phantoms and 15 clinical data sets from patients undergoing LA ablation. We demonstrate that the approach produces good concordance with expert manual delineations. The method offers a standardized quantification technique for evaluation and interpretation of DE-MRI scans.

KW - Adaptation models

KW - Biomedical imaging

KW - Blood

KW - Image segmentation

KW - Magnetic resonance imaging

KW - Myocardium

KW - Training

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JO - IEEE Journal of Translational Engineering in Health and Medicine

JF - IEEE Journal of Translational Engineering in Health and Medicine

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ER -

A method to standardize quantification of left atrial scar from delayed-enhancement MR images

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